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Index-aware Model Order Reduction Methods, N. Banagaaya; Giuseppe Al?; Wil H.A. Schilders


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Цена: 51230.00T
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Автор: N. Banagaaya; Giuseppe Al?; Wil H.A. Schilders
Название:  Index-aware Model Order Reduction Methods
ISBN: 9789462391888
Издательство: Springer
Классификация:



ISBN-10: 9462391882
Обложка/Формат: Hardcover
Страницы: 86
Вес: 0.32 кг.
Дата издания: 02.03.2016
Серия: Atlantis Studies in Scientific Computing in Electromagnetics
Язык: English
Размер: 234 x 156 x 6
Основная тема: Mathematics
Подзаголовок: Applications to Differential-Algebraic Equations
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The main aim of this book is to discuss model order reduction (MOR) methods for differential-algebraic equations (DAEs) with linear coefficients that make use of splitting techniques before applying model order reduction.

Power-Aware Architecting

Автор: Maarten Ditzel; R.H. Otten; Wouter A. Serdijn
Название: Power-Aware Architecting
ISBN: 9048176352 ISBN-13(EAN): 9789048176359
Издательство: Springer
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Цена: 121110.00 T
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Описание: This superb text provides a systematic way to support the system architect in this job. Therefore, an iterative system-level design approach is defined where iterations are based on fast and accurate estimations or predictions of area, performance and energy consumption.

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources

Автор: Tuan Tran Nguyen
Название: A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources
ISBN: 3658269480 ISBN-13(EAN): 9783658269487
Издательство: Springer
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Цена: 37260.00 T
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Описание: To tackle the challenges of the road estimation task, many works employ a fusion of multiple sources. By that, a commonly made assumption is that the sources always are equally reliable. However, this assumption is inappropriate since each source has certain advantages and drawbacks depending on the operational scenarios. Therefore, Tuan Tran Nguyen proposes a novel concept by incorporating reliabilities into the multi-source fusion so that the road estimation task can alternately select only the most reliable sources. Thereby, the author estimates the reliability for each source online using classifiers trained with the sensor measurements, the past performance and the context. Using real data recordings, he shows via experimental results that the presented reliability-aware fusion increases the availability of automated driving up to 7 percentage points compared to the average fusion.

About the Author:Tuan Tran Nguyen received the Master's degree in computer science and the Ph.D. degree from Otto-von-Guericke University Magdeburg, Germany, in 2013 and 2019, respectively. His research focuses on methods and architectures for reliability-based sensor fusion in intelligent vehicles.

Power Aware Design Methodologies

Автор: Massoud Pedram; Jan M. Rabaey
Название: Power Aware Design Methodologies
ISBN: 1475785135 ISBN-13(EAN): 9781475785135
Издательство: Springer
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Цена: 174150.00 T
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Описание:

Power Aware Design Methodologies is on power-awareness in design. The difference between low-power design and power-awareness in design is that whereas low-power design refers to minimizing power with or without a performance constraint, power-aware design refers to maximizing some other performance metric, subject to a power budget (even while reducing power dissipation).

Power Aware Design Methodologies was conceived as an effort to bring all aspects of power-aware design methodologies together in a single document. It covers several layers of the design hierarchy from technology, circuit logic, and architectural levels up to the system layer. It includes discussion of techniques and methodologies for improving the power efficiency of CMOS circuits (digital and analog), systems on chip, microelectronic systems, wirelessly networked systems of computational nodes and so on. In addition to providing an in-depth analysis of the sources of power dissipation in VLSI circuits and systems and the technology and design trends, this book provides a myriad of state-of-the-art approaches to power optimization and control.

The different chapters of Power Aware Design Methodologies have been written by leading researchers and experts in their respective areas. Contributions are from both academia and industry. The contributors have reported the various technologies, methodologies, and techniques in such a way that they are understandable and useful to the circuit and system designers, tool developers, and academic researchers and students.

Power Aware Design Methodologies is written for the design professional and can be used as a textbook for an advanced course on power-aware design methodologies.


Parasitic-Aware Optimization of CMOS RF Circuits

Автор: David J. Allstot; Jinho Park; Kiyong Choi
Название: Parasitic-Aware Optimization of CMOS RF Circuits
ISBN: 147577754X ISBN-13(EAN): 9781475777543
Издательство: Springer
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Цена: 93160.00 T
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Описание: In the arena of parasitic-aware design of CMOS RF circuits, efforts are aimed at the realization of true single-chip radios with few, if any, off-chip components. The parasitic-aware RF circuit synthesis techniques described in this book effectively address critical problems in this field.

RFID-WSN Integrated Architecture for Energy and Delay- Aware Routing

Автор: Jameel Ahmed; Mohammed Yakoob Siyal; Muhammad Tayy
Название: RFID-WSN Integrated Architecture for Energy and Delay- Aware Routing
ISBN: 9812874135 ISBN-13(EAN): 9789812874139
Издательство: Springer
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Цена: 60940.00 T
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Описание: The book identifies the performance challenges concerning Wireless Sensor Networks (WSN) and Radio Frequency Identification (RFID) and analyzes their impact on the performance of routing protocols.

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

Автор: Ahmed Abdelgawad; Magdy Bayoumi
Название: Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
ISBN: 1489987061 ISBN-13(EAN): 9781489987068
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book introduces resource-aware data fusion algorithms that generate inferences by combining data from multiple sources-techniques useful in centralized and distributed systems to overcome sensor failure, technological limitations, and coverage problems.

Uncertainty-Aware Integration of Control with Process Operations and Multi-Parametric Programming Under Global Uncertainty

Автор: Charitopoulos Vassilis M.
Название: Uncertainty-Aware Integration of Control with Process Operations and Multi-Parametric Programming Under Global Uncertainty
ISBN: 3030381366 ISBN-13(EAN): 9783030381363
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings.

Thermal-aware testing of digital vlsi circuits and systems

Автор: Chattopadhyay, Santanu (department Of Electronics And Electrical Communication Engineering, Indian Institute Of Technology Kharagpur, West Bengal, Ind
Название: Thermal-aware testing of digital vlsi circuits and systems
ISBN: 0815378823 ISBN-13(EAN): 9780815378822
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Описание: This book aims to highlight the research activities in the domain of thermal-aware testing. Thermal-aware testing can be employed both at circuit level and at system level. This book will be suitable for researchers working on power- and thermal-aware design and the testing of digital VLSI chips.

Model Order Reduction: Volume 1: System- and Data-Driven Methods and Algorithms

Автор: Peter Benner, Wilhelmus Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luis Miguel Silveira
Название: Model Order Reduction: Volume 1: System- and Data-Driven Methods and Algorithms
ISBN: 3110500434 ISBN-13(EAN): 9783110500431
Издательство: Walter de Gruyter
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Цена: 210690.00 T
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Описание:

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.


Reduced Order Methods for Modeling and Computational Reduction

Автор: Alfio Quarteroni; Gianluigi Rozza
Название: Reduced Order Methods for Modeling and Computational Reduction
ISBN: 3319377353 ISBN-13(EAN): 9783319377353
Издательство: Springer
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Цена: 88500.00 T
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Описание: This book details advances and developments in reduced order methods for modeling and computational reduction of complex parametrized systems held by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques.

Reduced Order Methods for Modeling and Computational Reduction

Автор: Alfio Quarteroni; Gianluigi Rozza
Название: Reduced Order Methods for Modeling and Computational Reduction
ISBN: 3319020897 ISBN-13(EAN): 9783319020891
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book details advances and developments in reduced order methods for modeling and computational reduction of complex parametrized systems held by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques.

Interpolatory Methods for Model Reduction

Автор: Athanasios C. Antoulas
Название: Interpolatory Methods for Model Reduction
ISBN: 1611976073 ISBN-13(EAN): 9781611976076
Издательство: Mare Nostrum (Eurospan)
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Цена: 68130.00 T
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Описание: Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. Interpolatory methods are among the most widely used model reduction techniques, and Interpolatory Methods for Model Reduction is the first comprehensive analysis of this approach available in a single, extensive resource. It introduces state-of-the-art methods reflecting significant developments over the past two decades, covering both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks.This textbook is appropriate for a wide audience of engineers and other scientists working in the general areas of large-scale dynamical systems and data-driven modeling of dynamics.


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